Separability of Spatiotemporal Spectra of Image Sequences

New Insight from Using Spatiotemporal Image Correlation in Prenatal Screening of Fetal Conotruncal Defects

Spatiotemporal power spectra of motion parallax: the case of cluttered 3D scenes

We examine the spatiotemporal power spectra of image sequences that depict dense motion parallax, namely the parallax seen by an observer moving laterally in a cluttered 3D scene. Previous models of the spatiotemporal power have accounted for effects such as a static 1/f spectrum in each image frame, a spreading of power at high spatial frequencies in the direction of motion, and a bias toward ...

Improvement of the Classification of Hyperspectral images by Applying a Novel Method for Estimating Reference Reflectance Spectra

Hyperspectral image containing high spectral information has a large number of narrow spectral bands over a continuous spectral range. This allows the identification and recognition of materials and objects based on the comparison of the spectral reflectance of each of them in different wavelengths. Hence, hyperspectral image in the generation of land cover maps can be very efficient. In the hy...

Statistics of natural image sequences: temporal motion smoothness by local phase correlations

Statistical modeling of natural image sequences is of fundamental importance to both the understanding of biological visual systems and the development of Bayesian approaches for solving a wide variety of machine vision and image processing problems. Previous methods are based on measuring spatiotemporal power spectra and by optimizing the best linear filters to achieve independent or sparse re...

Evaluation of Tests for Separability and Symmetry of Spatio-temporal Covariance Function

In recent years, some investigations have been carried out to examine the assumptions like stationarity, symmetry and separability of spatio-temporal covariance function which would considerably simplify fitting a valid covariance model to the data by parametric and nonparametric methods. In this article, assuming a Gaussian random field, we consider the likelihood ratio separability test, a va...